Re-Imagining International Human Rights Education in Our Time: Beyond Three Constitutive Orthodoxies
Bibliographic record
Abstract
This article seeks to show that both the conceptualization and practice of international human rights education within the mainstream human rights community has been shaped and framed, with mostly negative consequences, by at least three constitutive orthodoxies: a heaven-hell binary distinction between an all but “perfect” West and an all but “hellish” Third World; a consequent unidirectional traffic of human rights teaching from the West to the rest; and a reliance on the abolitionist paradigm of human rights education. It starts by mapping these orthodoxies, and proceeds thereafter to challenge them as fundamentally problematic and as capable of frustrating the project of progressive human rights education. The article ends by offering an insight into the ways in which international human rights education might be re-imagined if it is to have a better chance of achieving its ordinarily laudable mission.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.105 |
| Scholarly communication | 0.020 | 0.024 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.006 | 0.019 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".